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中等排放情景下中国未来不同强度降雨变化及其对总降雨贡献的预估(2006—2100 年)
引用本文:孔 锋,王一飞,方 建,等.中等排放情景下中国未来不同强度降雨变化及其对总降雨贡献的预估(2006—2100 年)[J].水利水电技术,2017,48(12):14.
作者姓名:孔 锋  王一飞  方 建  
作者单位:1. 中国气象局 气象干部培训学院,北京 100081; 2. 中国气象局 发展研究中心,北京 100081;3. 北京师范大学 地表过程与资源生态国家重点实验室,北京 100875; 4. 民政部 / 教育部 减灾与应急管理研究院,北京 100875; 5. 武汉大学 资源与环境科学学院,湖北 武汉 430079
基金项目:中亚大气科学研究基金“中亚地区暴雨时空变化及其影响因素诊断”( CAAS201804) ; 国家自然科学基金面上项目“北京城市热岛效应与强降水事件的关系研究”( 41775078) ; 气象软科学自主项目“新常态下中国自然灾害风险时空格局和综合防灾减灾工作的现状、趋势、挑战及战略对策范式研究”( 2017[36])
摘    要:为探究中国整体和不同区域的不同强度降雨雨量及其对总降雨雨量贡献率的变化趋势,采用RCP6. 0 中等排放情景下 2006—2100 年 WRF 30 km × 30 km 日值降水数据,根据中国气象局颁布的降水强度等级划分标准进行研究。结果表明: ( 1) 在降雨雨量上,中等排放情景下 2006—2100 年中国小雨减少,强降雨增加。在降雨雨量贡献率上,小雨和中雨对总降雨的贡献率呈减少趋势,其他五种强降雨对总降雨的贡献率在增加,说明强降雨增加,降雨朝着极端化方向发展。暴雨对总暴雨的贡献率呈增加趋势,而大暴雨和特大暴雨对总暴雨的贡献率呈减少趋势,总暴雨对总降雨贡献率的增加是由于暴雨的增加起了关键作用。( 2) 在不同分区上,北方、东北和西藏地区不同强度降雨均呈增加趋势; 东南和西南地区除小雨外均呈增加趋势; 西北东部地区仅小雨、大暴雨和特大暴雨呈增加趋势;西北西部地区仅小雨、中雨和总降雨呈增加趋势。在降雨雨量贡献率上,北方和西藏地区除小雨外均呈增加趋势; 东北、东南和西南地区除小雨和中雨外均呈增加趋势; 西北东部地区仅小雨呈增加趋势; 西北西部地区仅小雨和中雨呈增加趋势。( 3) 在不同强度暴雨对总暴雨贡献率上,七大分区中的特大暴雨对总暴雨的贡献率除西北西部变化趋势不显著外,其他分区均呈不同程度的增加趋势。所得成果为类似研究提供参考。

关 键 词:RCP6.  0  WRF  模式  动力降尺度  降雨预估  降雨等级  降雨贡献率  区域差异  全球气候变化  
收稿时间:2017-03-13

Pre-estimation on variations of rainfalls with different intensities and their contributions to totalrainfall under emission scenarios in China from 2006 to 2100
KONG Feng,WANG Yifei,FANG Jian,et al.Pre-estimation on variations of rainfalls with different intensities and their contributions to totalrainfall under emission scenarios in China from 2006 to 2100[J].Water Resources and Hydropower Engineering,2017,48(12):14.
Authors:KONG Feng  WANG Yifei  FANG Jian  
Abstract:In order to explore the rainfalls with different intensities in various regions and all over China as well as the variationtrends of their contributions to the total rainfall, a study is made with the WRF 30 km × 30 km daily precipitation data from 2006to 2100 under RCP6. 0 emission scenarios in accordance with the classification standard of precipitation intensity issued by ChinaMeteorological Administration. The result shows that ( 1) In the aspect of rainfall, light rains under RCP6. 0 emission scenariosfrom 2006 to 2100 in China are decreased along with the increases of heavy rains. For the contribution rate, the contribution ratesof light rain and moderate rain to the total rainfall present the trends of decrease, while the contributions of the other five kinds ofheavy rain to the total rainfall are increased, which indicates that heavy rains are increased along with rainfall being developed to-wards to an extreme direction. The contribution rate of rainstorm to the total storm rainfall presents a trend of increase, while thecontributions of heavy rainstorm and super rainstorm to the total storm rainfall show the trends of decrease, thus the increase ofrainstorm plays a key role on the increase of the contribution rate of the total storm rainfall to the total rainfall. ( 2) In the aspectof different regions, all the rainfalls with different intensities in the North China, Northeast China and Tibet region present thetrends of increase; all the other kinds of rains in regions of the Southeast China and Southwest China present the trends of in-crease except light rain; only light rain, moderate rain and the total rainfall in the region of the west of the Northwest China pres-ent the trends of increase; only light rain in the region of the east of the Northwest China presents the trend of increase and onlylight rain and moderate rain in the region of the west of the Northwest China present the trends of increase. ( 3) In the aspect ofthe contributions of the rainstorms with different intensities to the total storm rainfall, except that the variation trend in the west ofthe Northwest China is not so significant, the contributions of super rainstorms within all the seven main regions present the trendsof increase with various degrees. The result obtained herein can provide a reference for the similar studies.
Keywords:RCP6  0  WRF mode  dynamical downscaling  pre-estimation of rainfall  rainfall grade  rainfall contribution rate  regional differences  global climate change  
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